Regression models for correlated binary data with random effects assuming a mixture of normal distributions (Q1424628)
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scientific article; zbMATH DE number 2058960
| Language | Label | Description | Also known as |
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| English | Regression models for correlated binary data with random effects assuming a mixture of normal distributions |
scientific article; zbMATH DE number 2058960 |
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Regression models for correlated binary data with random effects assuming a mixture of normal distributions (English)
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16 March 2004
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A logistic regression model with random effects is considered for longitudinal binary data. It is assumed that the random effects distribution is a mixture of normal distributions with different unknown means and variances. A Bayesian approach with Markov chain Monte-Carlo (MCMC) is described for the parameter estimation. An example of biological data analysis is presented.
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logistic regression
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Markov chain Monte-Carlo
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Bayesian inference
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